[250420] New survey paper on Deep Generative Models in Transportation Research published in Transportation Research Part C

I'm thrilled to share that our latest publication, '๐€ ๐†๐ž๐ง๐ญ๐ฅ๐ž ๐ˆ๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐š๐ง๐ ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ ๐จ๐ง ๐ƒ๐ž๐ž๐ฉ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐Œ๐จ๐๐ž๐ฅ๐ฌ ๐ข๐ง ๐“๐ซ๐š๐ง๐ฌ๐ฉ๐จ๐ซ๐ญ๐š๐ญ๐ข๐จ๐ง ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก', has just been published in Transportation Research Part C.

๐Ÿš€ Itโ€™s officialโ€”our new paper is live!

Iโ€™m thrilled to share that our latest publication, โ€œ๐€ ๐†๐ž๐ง๐ญ๐ฅ๐ž ๐ˆ๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐š๐ง๐ ๐“๐ฎ๐ญ๐จ๐ซ๐ข๐š๐ฅ ๐จ๐ง ๐ƒ๐ž๐ž๐ฉ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐Œ๐จ๐๐ž๐ฅ๐ฌ ๐ข๐ง ๐“๐ซ๐š๐ง๐ฌ๐ฉ๐จ๐ซ๐ญ๐š๐ญ๐ข๐จ๐ง ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐กโ€, has just been published in Transportation Research Part C. This work is a true team effort from experts around the world, including Zhixiong Jin, Seung Woo Ham, Jiwon Kim, Lijun Sun, and me. We hope this paper serves as a go-to primer on Generative AI for transportation researchers.

In this paper, we provide an accessible overview of Deep Generative Models (DGMs) and their applications for transportation research communities. Our paper offers a comprehensive introduction to the foundational concepts of DGMs and a review of current literature on applications of DGMs in transportation research.

To further support the transportation research community, we have included open-source tutorial code to help researchers apply DGMs to a variety of transportation problems, featuring two widely studied problems to assist a broad range of researchers:

  1. Generating Household Travel Survey data using the National Household Travel Survey in Korea, and
  2. Generating highway traffic speed contour using I-24 MOTION data

๐Ÿ”— Free access until July 4, 2025:

๐Ÿ’ป Tutorial Code repo: